dc.contributor.author | Khan, Salman | |
dc.contributor.author | Iftikhar, Muhammad | |
dc.contributor.author | Taj, Kamran | |
dc.contributor.author | Supervised by Lec Ayesha Naseer. | |
dc.date.accessioned | 2020-11-13T04:36:59Z | |
dc.date.available | 2020-11-13T04:36:59Z | |
dc.date.issued | 2019-06 | |
dc.identifier.other | PCS-347 | |
dc.identifier.other | BESE-21 | |
dc.identifier.uri | http://10.250.8.41:8080/xmlui/handle/123456789/11610 | |
dc.description.abstract | SEAT is primarily a defence purpose project of signal directorate to digitize and automate the learning of signal equipment by using GUI based module. It will comprise of front panel of all signal communication equipments with complete hands on training without any presence of equipment / instructor. This project will not only works as a training aid but also provide an opportunity to the defence personal as a simulator. This project is GUI based application which will have various signal equipments having vast usage in a field in the form of API supported by GUI which will be very economical, user friendly and having no complication. | en_US |
dc.language.iso | en | en_US |
dc.publisher | MCS | en_US |
dc.title | Signal equipment automated training system | en_US |
dc.type | Technical Report | en_US |